Data Scientist
- Extensive experience of XX years in developing predictive systems and creating efficient algorithms to improve data quality; identifying, evaluating, designing, and implementing statistical analyses of gathered data to create analytic metrics and tools
- Skilled in designing, building, and deploying data analysis systems for large data sets; creating algorithms to extract information from large data sets; establishing efficient, automated processes for model development, validation, implementation, and large-scale data analysis
- Strong problem-solving skills with an emphasis on product development; experience working with and creating data architectures; knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications; creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
